{"title":"Organ-Specific Cancer-Associated Fibroblast Subtypes Across the Digestive System Linked to Cancer Hallmarks","authors":"Huaitao Wang, Takashi Semba, Atsuko Yonemura, Hiroshi Naito, Lingfeng Fu, Takuya Tajiri, Masaaki Iwatsuki, Takatsugu Ishimoto","doi":"10.1111/cas.70435","DOIUrl":null,"url":null,"abstract":"<p>Cancer-associated fibroblasts (CAFs) are major stromal components of the tumor microenvironment (TME) and play diverse roles in gastrointestinal (GI) cancer progression, immunity, and therapeutic resistance. However, the heterogeneity, tissue specificity, and clinical relevance of CAFs across GI cancers remain incompletely defined. We integrated 14 independent single-cell RNA-sequencing datasets comprising 239 GI adenocarcinoma samples to define the subtypes of CAFs. Machine learning–based deconvolution was applied to 18 bulk transcriptomic cohorts (3396 patients) to estimate CAF subtype abundance and assess prognostic associations by meta-analysis. Functional states, differentiation trajectories, cell–cell communication, and spatial organization were analyzed using gene-set enrichment, transcription factor activity inference, pseudotime modeling, ligand–receptor analysis, and spatial transcriptomics. We identified eight CAF subtypes with distinct transcriptional programs and organ-specific distributions. Two myofibroblastic CAF subtypes (myCAF1 and myCAF2) were consistently associated with poor prognosis, characterized by extracellular matrix remodeling, TGF-β signaling, hypoxia adaptation, and close crosstalk with immunosuppressive macrophages, as well as tumor cells displaying epithelial-mesenchymal transition and hypoxia signatures. In contrast, inflammatory CAF (iCAF) 1 was associated with a favorable prognosis and increased infiltration of antitumor immune cells. Spatial transcriptomic analyses further revealed that distinct CAF subtypes preferentially occupied discrete spatial domains within the GI TME. Our study demonstrated that the functional state and spatial context of CAFs jointly affect tumor progression and outcomes in patients with GI cancers. myCAF-driven stromal niches promote immune suppression and poor prognosis, whereas a balanced inflammatory CAF program may support antitumor immunity.</p>","PeriodicalId":9580,"journal":{"name":"Cancer Science","volume":"117 9","pages":"2496-2508"},"PeriodicalIF":4.9000,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13394947/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Science","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cas.70435","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/1 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Cancer-associated fibroblasts (CAFs) are major stromal components of the tumor microenvironment (TME) and play diverse roles in gastrointestinal (GI) cancer progression, immunity, and therapeutic resistance. However, the heterogeneity, tissue specificity, and clinical relevance of CAFs across GI cancers remain incompletely defined. We integrated 14 independent single-cell RNA-sequencing datasets comprising 239 GI adenocarcinoma samples to define the subtypes of CAFs. Machine learning–based deconvolution was applied to 18 bulk transcriptomic cohorts (3396 patients) to estimate CAF subtype abundance and assess prognostic associations by meta-analysis. Functional states, differentiation trajectories, cell–cell communication, and spatial organization were analyzed using gene-set enrichment, transcription factor activity inference, pseudotime modeling, ligand–receptor analysis, and spatial transcriptomics. We identified eight CAF subtypes with distinct transcriptional programs and organ-specific distributions. Two myofibroblastic CAF subtypes (myCAF1 and myCAF2) were consistently associated with poor prognosis, characterized by extracellular matrix remodeling, TGF-β signaling, hypoxia adaptation, and close crosstalk with immunosuppressive macrophages, as well as tumor cells displaying epithelial-mesenchymal transition and hypoxia signatures. In contrast, inflammatory CAF (iCAF) 1 was associated with a favorable prognosis and increased infiltration of antitumor immune cells. Spatial transcriptomic analyses further revealed that distinct CAF subtypes preferentially occupied discrete spatial domains within the GI TME. Our study demonstrated that the functional state and spatial context of CAFs jointly affect tumor progression and outcomes in patients with GI cancers. myCAF-driven stromal niches promote immune suppression and poor prognosis, whereas a balanced inflammatory CAF program may support antitumor immunity.
期刊介绍:
Cancer Science (formerly Japanese Journal of Cancer Research) is a monthly publication of the Japanese Cancer Association. First published in 1907, the Journal continues to publish original articles, editorials, and letters to the editor, describing original research in the fields of basic, translational and clinical cancer research. The Journal also accepts reports and case reports.
Cancer Science aims to present highly significant and timely findings that have a significant clinical impact on oncologists or that may alter the disease concept of a tumor. The Journal will not publish case reports that describe a rare tumor or condition without new findings to be added to previous reports; combination of different tumors without new suggestive findings for oncological research; remarkable effect of already known treatments without suggestive data to explain the exceptional result. Review articles may also be published.